Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...

Aerosol radiative effects have been studied extensively by climate and weather research communities. However, aerosol impacts on radiance in the context of data assimilation (DA) received little attention. In this study, we investigated satellite radiances incorporating time-varying three-dimensional distributions into observation operator. A series DA experiments was conducted for August 2017....

In order to improve the forecasting ability of numerical models, a sequential data assimilation scheme, nudging, was applied to blend remotely sensing high-frequency (HF) radar surface currents with results from a three-dimensional numerical, EFDC (Environmental Fluid Dynamics Code) model. For the first time, this research presents the most appropriate nudging parameters, which were determined ...

This study presents the rst econometric application of the Poisson varying coeecient (PVC) model. This count data model is applied to investigate immigrant fertility adjustment after migration. Data on completed fertility are taken from the 1996 wave of the German Socioeconomic Panel (GSOEP). We nd evidence in favor of the assimilation model according to which immigrant fertility converges to n...

The Environmental Data Abstraction Library provides a modular data management library for bringing new and diverse data-types together for visualisation within numerous software packages, including the ncWMS viewing service, which already has very wide international uptake. The structure of EDAL is presented along with examples of its use to compare satellite, model and in situ data types withi...